Chris Alexiuk

Chris Alexiuk is a deep learning developer advocate at NVIDIA, working on creating technical assets that help developers use the incredible suite of AI tools available at NVIDIA. Chris comes from a machine learning and data science background, and he is obsessed with everything and anything about large language models.
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Posts by Chris Alexiuk

Generative AI

Mastering LLM Techniques: Evaluation

Evaluating large language models (LLMs) and retrieval-augmented generation (RAG) systems is a complex and nuanced process, reflecting the sophisticated and... 12 MIN READ
NeMo framework icons on a purple background.
Generative AI

Accelerate Custom Video Foundation Model Pipelines with New NVIDIA NeMo Framework Capabilities

Generative AI has evolved from text-based models to multimodal models, with a recent expansion into video, opening up new potential uses across various... 10 MIN READ
Generative AI

Deploying Fine-Tuned AI Models with NVIDIA NIM

For organizations adapting AI foundation models with domain-specific data, the ability to rapidly create and deploy fine-tuned models is key to efficiently... 6 MIN READ
Generative AI

An Introduction to Model Merging for LLMs

One challenge organizations face when customizing large language models (LLMs) is the need to run multiple experiments, which produces only one useful model.... 10 MIN READ
Generative AI

Leverage the Latest Open Models for Synthetic Data Generation with NVIDIA Nemotron-4-340B

This post was updated on August 16, 2024 to reflect the most recent Reward Bench results. Since the introduction and subsequent wide adoption of large language... 8 MIN READ
Decorative image of LLM workflow.
Generative AI

New LLM: Snowflake Arctic Model for SQL and Code Generation

Large language models (LLMs) have revolutionized natural language processing (NLP) in recent years, enabling a wide range of applications such as text... 3 MIN READ